Sample selection method and device, storage medium and electronic equipment

The embodiment of the invention discloses a sample selection method and device, a storage medium and electronic equipment, and the method comprises the steps: introducing a recognition model, taking arecognition result of the recognition model as the measurement of diversity in an active learning method, marking a sample as a historical sample type and a newly-added sample type, and employing a training set to train a sample type recognition model, adopting the trained recognition model to recognize all samples in a test set, selecting the samples with the recognition model recognized as newly-added sample types to be added into the training sample set and used for updating the target model, and converting sample selection based on diversity into a supervised learning method from an unsupervised learning method, therefore, the sample selection precision is improved, the sample selection efficiency is improved, more valuable samples are selected on the basis of reducing the workload ofmanual annotation, and a